Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data
We seek to improve the predictive accuracy of the nomogram to predict survival for patients with castrate mets disease through the addition of pathological data, the results of automated machine vision based image analysis of H&E stained tumor tissue developed at Aureon Biosciences,and molecular biomarker studies (25 markers) determined by immunohistochemistry on tissue microarrays prepared from paraffin-embedded tumor.
|Study Design:||Observational Model: Cohort
Time Perspective: Retrospective
|Official Title:||Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data|
- The analysis for the progressive castrate mets disease population consists of two analytical steps. The first step involved the development of a predictive model of pt survival using supervised multivariate analytical (SMA)techniques [ Time Frame: 2 years ] [ Designated as safety issue: No ]
Biospecimen Retention: Samples With DNA
In a first analytical step, using only the clinical and pathological variables used in the original clinical mets castrate disease nomogram as inputs, supervised multivariate analytical techniques (SMA) were used to generate a new predictive model for patient survival. A similar approach will then be used to analyze a second group of approximately 223 pts in the state of a rising PSA14 after surgery or radiation therapy treated on a sequential series of IRB approved trials testing conjugate vaccines also consented on IRB protocol 90-40.
|Study Start Date:||May 2004|
|Study Completion Date:||April 2010|
|Primary Completion Date:||April 2010 (Final data collection date for primary outcome measure)|
|United States, New York|
|Memorial Sloan-Kettering Cancer Center|
|New York, New York, United States, 10065|
|Principal Investigator:||Howard I Scher, MD||Memorial Sloan-Kettering Cancer Center|